Responsible AI FAQs for copilot template for store operations
Important
Some or all of this functionality is available as part of a preview release. The content and the functionality are subject to change.
This article answers frequently asked questions (FAQs) about the copilot template for store operations in Store Operations Assist. It also explains how Microsoft uses your data responsibly.
What is copilot template for store operations?
Copilot template for store operations is part of Store Operations Assist from Microsoft Cloud for Retail. It's a generative AI-powered LLM based solution that enables Q&A from store documentation such as store operating procedures and natural language-based task creation (form filling).
With copilot template for store operations, associates can use natural language to access the information quickly and easily they need in the flow of work, increasing their productivity and efficiency. Store employees can quickly get answers to their questions on store operating procedures, HR policies, and benefits. In addition, copilot template for store operations can save time for associates and management through voice enabled task creation and assignment.
What are the system’s capabilities?
Copilot template for store operations is built on a machine learning model called GPT-3.5. GPT-3.5 is trained on a vast number of text samples from the internet and generates new text that looks and sounds like text written by a human. It can rewrite content to mask any personal data in generated ideas and show only the results that are long enough and unique enough to be useful.
What can copilot template for store operations do?
Store employees can quickly get answers to their questions on store operating procedures, HR policies, and benefits by asking questions to copilot template for store operations. The associate can ask questions by voice or text.
The associate can provide a voice command or text, which helps in automatically creating a task as Gen AI capabilities fill details based on the input provided. This feature simplifies and automates creation of tasks and saves time for associates.
What languages does copilot template for store operations support currently?
Copilot template for store operations currently supports only English. We plan to localize the solution to other languages where Azure OpenAI is present and based on customer requests. To discuss localization, contact mcfrcommunity@microsoft.com.
What services does copilot template for store operations use?
Copilot template for store operations uses the following services:
Power Platform such as Power Apps, Dataverse
Azure services such as Azure OpenAI, Azure Cognitive Search, Azure Vector Search, embeddings in Azure OpenAI, and Azure Blob Storage
Where is the data processed?
The data is processed in the same location where you configure the Dataverse environment and relevant Azure resources. You define the Dataverse and Azure resources and determine the country/regions where the data is processed for the copilot template for store operations. The template doesn't control or enforce these settings. You must choose them based on the availability of the Azure resources in each region.
What is the high-level architectural diagram for copilot template for store operations?
Data flow diagram for copilot template for store operations is as follows:
High level architecture diagram for Q&A scenario in copilot template for store operations is as follows:
High level architecture diagram for voice enabled task creation scenario in copilot template for store operations is as follows:
What usage data does Microsoft store for copilot template for store operations?
Microsoft doesn’t collect or store personal data or user data. Microsoft gathers aggregated telemetry (stored for 30 days) about usage that helps us improve the quality of the product.
All documents and usage information is stored in Azure Blob Storage and Dataverse, which are in your tenants. Microsoft doesn’t have access to this information. For more information on data privacy and security for Azure OpenAI service, see Data privacy.
How did Microsoft evaluate copilot template for store operations?
Microsoft has an evaluation stage as part of our design and development process. We use a set of evaluation methods that include a collection of sample questions, answers, and relevant documents to test the quality of the AI answers vs the human answers baseline.
We evaluate the solution by following Microsoft quality guidelines. We recommend that you conduct an evaluation check for each new implementation, as the product is currently in preview, and we warmly welcome feedback. Note that we've conducted the evaluation only for English so far.
As part of our development process, we also follow Microsoft Responsible AI guidelines and conduct privacy, security, and threat reviews before launching features to customers.
What are current limitations of copilot template for store operations? How can I minimize them?
Copilot template for store operations has these limitations:
It's built on GPT-3.5 models in Azure OpenAI. The underlying technologies are trained on wide range of sources and some answers might not seem perfect. It’s important to test it with internal users and provide feedback.
It undergoes three step process of launch- private preview, public preview, and General Availability. Since copilot template for store operations is in public preview, we recommend users to use the solution in test environments only.
You can minimize the impact of these limitations in two ways:
Use the enable/disable button for Q&A or task management features.
Assign the Retail AI assistant user role to a limited set of users to get access to copilot template for store operations features. Users without this role can't access copilot template for store operations features.
Can I use voice and chat with the copilot template for store operations? Can I use voice during preview and if not, when can we test it?
Yes, you can use voice and chat with copilot template for store operations. Microsoft relies on the mobile device operations system for voice support and users need to allow permissions in their mobile. You must test the voice prompts in a user acceptance testing (UAT) environment before using them in production, because the mobile phone OS drives voice capability..